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Video
A rapidly expanding research area involves the development of routes to shape programmable threedimensional (3D) structures with feature sizes in the mesoscopic range (that is, between tens of nanometres and hundreds of micrometres). A goal is to establish methods to control the properties of materials systems and the function of devices, through not only static architectures, but also morphable structures and shapeshifting processes. Soft matter equipped with responsive components can switch between designed shapes, but cannot support the types of dynamic morphing capabilities needed to reproduce continuous shapeshifting processes of interest for many applications. Challenges lie in the establishment of 3D assembly/fabrication techniques compatible with wide classes of materials and 3D geometries, and schemes to program target shapes after fabrication.
In this talk, Prof. HUANG Yonggang will introduce a mechanicsguided assembly approach that exploits controlled buckling for constructing complex 3D micro/nanostructures from patterned twodimensional (2D) micro/nanoscale precursors that can be easily formed using established semiconductor technologies. This approach applies to a very broad set of materials (e.g., semiconductors, polymers, metals, and ceramics) and even their heterogeneous integration, over a wide range of length scales (e.g., from 100 nm to 10 cm). To allow realisation of 3D mesostructures that are capable of qualitative shape reconfiguration, Prof. HUANG devises a loadingpath controlled strategy that relies on elastomer platforms deformed in different time sequences to elastically alter the 3D geometries of supported mesostructures via nonlinear buckling. Prof. HUANG will also introduce a recent work on shape programmable soft surface, constructed from a matrix of filamentary metal traces, driven by programmable, distributed electromagnetic forces that follow from the passage of electrical currents in the presence of a static magnetic field. Under the guidance of a mechanics modelbased strategy to solve the inverse problem, the surface can morph into a wide range of 3D target shapes and shapeshifting processes. The compatibility of these approaches with the stateoftheart fabrication/processing techniques, along with the versatile capabilities, allow transformation of diverse existing 2D microsystems into complex configurations, providing unusual design options in the development of novel functional devices.
Event date: 08/08/2024
Speaker: Prof. HUANG Yonggang (Northwestern University)
Hosted by: PolyU Academy for Interdisciplinary Research
 Keywords:
 Buckling (Mechanics) Materials science Elastomers Microstructure
 Resource Type:
 Video

Video
The seminar commenced with a welcome speech and speaker introduction by Prof. WANG Zuankai, Associate Vice President (Research and Innovation) of PolyU. This was followed by Prof. Leng’s presentation. He first provided a brief background about shape memory polymers (SMP), pointing out that these smart materials can reversibly change between permanent and temporary shapes in response to changes in external stimuli such as temperature. Next, he gave an overview of the researchers from different scientific research institutions and universities around the world who specialise in SMP research, and the types of SMP materials that HIT researchers focus on. He said that SMP are hard to actuate and their recovery strength and speed are low, and so relevant solutions to these challenges are important for the development of SMP composites (SMPC). Prof. Leng then gave examples demonstrating how SMPC can be prepared through actuation methods involving different stimuli such as heat, electricity, magnetism, radio frequency, solution/water, light, etc. He mentioned that SMPC can be used to prepare various structures for aerospace, smart manufacturing, photoelectric applications, microelectromechanical systems applications, and smart clothing. After that, Prof. Leng introduced 4D printing, a novel additive manufacturing process for producing printed objects that can adaptively change their configurations/properties in response to external stimuli. He mentioned that 4D printing is important for producing a range of SMPCbased materials for biomedical applications. To conclude, Prof. Leng said that SMP research is a fastgrowing emerging research field. He anticipated that shape memory smart structures incorporated with sensors, actuators, and controllers, would be widely used in aerospace, civil aviation, automotive, energy and daily life.
Event date: 15/07/2024
Speaker: Prof. LENG Jinsong
Hosted by: PolyU Academy for Interdisciplinary Research
 Keywords:
 Shape memory polymers Polymeric composites Additive manufacturing Smart materials
 Resource Type:
 Video

Video
The lecture commenced with a welcome speech and speaker introduction by Prof. CHEN Qingyan, Director of PAIR, followed by a presentation by Prof. Cui. He first shared his scientific journey by reminiscing about the old days when he moved abroad to develop an academic career after graduating in China and gradually became a highly successful scientist. Next, he explained the importance of interdisciplinary research and shared how the combination of medical science and engineering enables the development of health technologies such as imaging, keyhole surgery, in vitro diagnostics, in vitro fertilisation, etc. Prof. Cui emphasised that scientists are to “discover” and find out “how a thing happens” whereas engineers are to “create” and “make things happen”. He then gave some advice on how to do well in interdisciplinary research and shared some innovations in microbioreactor and pointofcare testing developed by him and his team which has achieved great success in research commercialisation and made significant contributions to drug discovery and public health. To conclude, Prof. Cui shared that scientific success is based on many factors, including team, facilities, timing, luck, etc., and encouraged the next generation of engineers and scientists to consider a career in biomedical engineering, an exciting and rewarding domain.
Following the lecture, a lively and insightful questionandanswer session was moderated by Ir Prof. ZHANG Ming, Director of the Research Institute for Sports Science and Technology (RISports), Head of the Department of Biomedical Engineering and Chair Professor of Biomechanics. The audience had fruitful discussions with Prof. Cui.
Event date: 23/04/2024
Speaker: Prof. Zhanfeng CUI (University of Oxford)
Hosted by: PolyU Academy for Interdisciplinary Research
 Keywords:
 Interdisciplinary research Interdisciplinary approach in education
 Resource Type:
 Video

Video
The lecture commenced with a welcome speech and speaker introduction by Prof. WANG Zuankai, Associate Vice President (Research and Innovation). In his presentation, Prof. Chen first gave a brief introduction to the United Nations’ 17 Sustainable Development Goals (SDGs) as well as the SDG monitoring practices in Mainland China. He pointed out that the Nation has adopted the high quality sustainable development concept, which emphasises harmonising the social, economic and environmental aspects in national development. Next, he elaborated on a pilot project that he led to measure Deqing County’s progress towards SDGs using geospatial and statistical information. The project was selected by the UN Department of Economic and Social Affairs as one of the first 16 good SDGs’ practices in 2020. After that, Prof. Chen shared that the achievement of sustainable development requires holistic and systematic research to build a digital governance system that can provide the basis for the scientific and orderly development of national territorial space. He also explained how territorial space sustainability studies can help unveil and analyse various patterns, such as the distributions of population, enterprises and public service facilities, and the relationships between them. To conclude, Prof. Chen introduced the national program on the development of the Realistic Geospatial Landscape Model (3dRGLm), which can generate digital description and representation of the real 3D geospatial spaces. This new geographic information system can support the Nation in achieving natural resources management and high quality sustainable development.
A questionandanswer session moderated by Prof. DING Xiaoli, Director of the Research Institute for Land and Space (RILS) and Prof. WENG Qihao, Associate Director of RILS, followed. The online and onsite audience engaged in a productive discussion with Prof. Chen.
Event date: 27/03/2024
Speaker: Prof. Jun CHEN (National Geomatics Center of China)
Hosted by: PolyU Academy for Interdisciplinary Research
 Keywords:
 Sustainable development Geospatial data China Sustainable Development Goals Geographic information systems
 Resource Type:
 Video

Video
The lecture commenced with a warm welcome address by Prof. CHEN Qingyan, Director of PAIR, followed by a brief speaker introduction by Prof. WANG Zuankai, Associate Vice President (Research and Innovation) of PolyU. In his presentation, Prof. Yang highlighted that urgent need for tissue/organ biomanufacturing owing to the shortage of donation for organ transplantation. He pointed out some challenges in the in vitro manufacturing of tissues/organs, particularly in relation to accurate design, precise fabrication, and functional induction, which underscore the imperative need for new methods for tissue/organ manufacturing. Next, Prof. Yang outlined the development roadmap of biomanufacturing and shared specific examples demonstrating the research progress in 3D bioprinting. In concluding his presentation, Prof. Yang shared his insights on the future direction for biomanufacturing, as well as some significant accomplishments by him and his team at Zhejiang University in the field.
A questionandanswer session moderated by Prof. Wang was followed. Both the online and onsite audience had a fruitful discussion with Prof. Yang.
Event date: 2/1/2024
Speaker: Prof. Huayong Yang (Zhejiang University)
Moderator: Prof. Zuankai Wang (Hong Kong Polytechnic University)
Hosted by: PolyU Academy for Interdisciplinary Research
 Subjects:
 Biomedical Engineering and Biology
 Keywords:
 Biomedical engineering Tissue engineering Regenerative medicine Threedimensional printing
 Resource Type:
 Video

Video
Water shortage is one of the biggest challenges that humanity faces. Novel technologies to tackle the challenge of water scarcity are urgently needed. However, all the existing studies are based on bare fibers with diameter in the order of mm. This talk introduces a novel fog collection technology using microfibers fabricated by nearfield electrospinning. The collection efficiency reaches a record high level. Systematic investigation reveals that the waterdrops are “visible” to fog droplets in the incoming air flow because of the relatively small size of the microfibers. Thus, the large waterdrops deflect the fogcarrying airflow to the satellite small waterdrops, which effectively intercept the fog droplets.
Event Date: 12/10/2023
Speaker: Prof. TAN Zhongchao (Founding Chair Professor, Vice Provost and Dean of Academic Affairs of the Eastern Institute of Technology in Ningbo, China)
Hosted by: PolyU Academy for Interdisciplinary Research
 Subjects:
 Environmental Sciences and Mechanical Engineering
 Keywords:
 Fog Hydrology Water harvesting Watersupply
 Resource Type:
 Video

Video
In the presentation, Prof. Chan shared Singapore’s longterm energy plan and research focus, as well as a few major initiatives on hydrogen application. He then introduced turquoise hydrogen and the catalytic decomposition of methane for hydrogen production, followed by an overview of the research activities on hydrogen and fuel cells at NTU over the last 30 years.
Event Date: 13/6/2023
Speaker: Prof. CHAN Siew Hwa (Nanyang Technological University)
Hosted by: PolyU Academy for Interdisciplinary Research
 Subjects:
 Electrical Engineering
 Keywords:
 Clean energy Hydrogen as fuel
 Resource Type:
 Video

Video
In this lecture I consider the fundamental, challenging and largely unsolved problem of deriving rigorously the most popular kinetic equations, starting from the laws governing the dynamics of microscopic systems. I plan to present classical and recent results, discussing also some present perspectives.
Event date: 30/3/2023
Speaker: Prof. Mario Pulvirenti (University of Roma La Sapienza)
Hosted by: Department of Applied Mathematics
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematical models Kinetic theory of gases  Mathematical models
 Resource Type:
 Video

Video
We investigate reversal and recirculation for the stationary Prandtl equations. Reversal describes the solution after the Goldstein singularity, and is characterized by regions in which u > O and u < 0. The classical point of view of regarding the Prandtl equations as an evolution equation in x completely breaks down since u changes sign. Instead, we view the problem as a quasilinear, mixedtype, freeboundary problem. This is a joint work with Sameer Iyer.
Event date: 14/3/2023
Speaker: Prof. Nader Masmoudi (New York University)
Hosted by: Department of Applied Mathematics
 Subjects:
 Mathematics and Statistics
 Keywords:
 Fluid dynamics  Mathematical models
 Resource Type:
 Video

Video
In the context of hyperbolic systems of balance laws with dissipative source manifesting relaxation, recent pr"Ogress will be reported in the program of passing to the limit, in 1he BV setting, as the relaxation lime tends to zero.
Event date: 16/2/2023
Speaker: Prof. Constantine Dafermos (Brown University)
Hosted by: Department of Applied Mathematics
 Subjects:
 Mathematics and Statistics
 Keywords:
 Equilibrium  Mathematical models Relaxation Differential equations Hyperbolic
 Resource Type:
 Video

Video
Models arising in biology are often written in terms of Ordinary Differential Equations. The celebrated paper of KermackMcKendrick (19271, founding mathematical epidemiology, showed the necessity to include parameters in order to describe the state of the individuals, as time elapsed after infection. During the 70s, many mathematical studies were developed when equations are structured by age, size, more generally a physiological trait. The renewal, growthfragmentation are the more standard equations. The talk will present structured equations, show that a universal generalized relative entropy structure is available in the linear case, which imposes relaxation to a steady state under nondegeneracy conditions. In the nonlinear cases, it might be that periodic solutions occur, which can be interpreted in biological terms, e.g., as network activity in the neuroscience. When the equations are conservation laws, a variant of the MongeKantorovich distance (called FortetMourier distance) also gives a general nonexpansion property of solutions.
Event date: 19/1/2023
Speaker: Prof. Benoît Perthame (Sorbonne University)
Hosted by: Department of Applied Mathematics
 Subjects:
 Biology and Mathematics and Statistics
 Keywords:
 Biomathematics Equations
 Resource Type:
 Video

Video
Universities conduct research for three reasons: to educate students, to contribute to society, and to understand the world. While society often holds a view of the scholar as a solitary and singular genius, in reality scholars today participate in a highly collaborative, worldwide search for shared understandings that stand the test of time and the scrutiny of others. The problems in the 21st century often demand effort by teams of researchers with resources at scale: laboratories and equipment, compute resources, and expert staffing. Working with faculty, students, and other stakeholders to identify the greatest opportunities and the resources needed to address them is both a privilege and a challenge for modern academic administrators. In this talk, I will share three examples: fostering collaborative proposalwriting; planning for shared capabilities in experimental facilities, data, and computation; and transforming academic structures.
Event date: 12/4/2023
Speaker: Prof. Kathryn Ann Moler
Hosted by: PolyU Academy for Interdisciplinary Research
 Subjects:
 Statistics and Research Methods
 Keywords:
 Research Science
 Resource Type:
 Video

Video
More than one hundred years ago, Albert Einstein published his Theory of General Relativity (GR). One year later, Karl Schwarzschild solved the GR equations for a nonrotating, spherical mass distribution; if this mass is sufficiently compact, even light cannot escape from within the socalled event horizon, and there is a mass singularity at the center. The theoretical concept of a 'black hole' was born, and was refined in the next decades by work of Penrose, Wheeler, Kerr, Hawking and many others. First indirect evidence for the existence of such black holes in our Universe came from observations of compact Xray binaries and distant luminous quasars. I will discuss the fortyyear journey, which my colleagues and I have been undertaking to study the mass distribution in the Center of our Milky Way from ever more precise, longterm studies of the motions of gas and stars as test particles of the space time. These studies show the existence of a four million solar mass object, which must be a single massive black hole, beyond any reasonable doubt.
Event date: 09/02/2023
Speaker: Prof. Reinhard GENZEL
Hosted by: PolyU Academy for Interdisciplinary Research
 Subjects:
 Cosmology and Astronomy and Physics
 Keywords:
 Astrophysics Astronomy Deep space  Milky Way Nobel Prize winners General relativity (Physics) Black holes (Astronomy)
 Resource Type:
 Video

Courseware
This course provides a thorough introduction to the principles and methods of physics for students who have good preparation in physics and mathematics. Emphasis is placed on problem solving and quantitative reasoning. This course covers Newtonian mechanics, special relativity, gravitation, thermodynamics, and waves.
 Course related:
 AP10005 Physics I
 Subjects:
 Physics
 Keywords:
 Physics
 Resource Type:
 Courseware

Video
In this lesson, we'll be looking at the cell cycle. This is the lifespan of a eukaryotic somatic cell. A somatic cell is any cell in the body of an organism, except for sex cells such as sperm and egg cells. The cell cycle describes the sequence of cell growth and division. A cell spends most of its life a state called interphase. Interphase has three phases, the G1, S, and G2 phases. Interphase is followed by cell division, which has one phase, the M phase. Together these four phases make up the entire cell cycle. G1 of interphase is sometimes called growth 1 or gap phase 1. In G1, a cell is busy growing and carrying out whatever function it's supposed to do. Note that some cells, such as muscle and nerve cells, exit the cell cycle after G1 because they do not divide again. A cell enters the S phase after it grows to the point where it's no longer able to function well and needs to divide. The S stands for synthesis, which means to make, because a copy of DNA is being made during this phase. Once DNA replication is complete, the cell enters the shortest and the last part of interphase called G2, also known as growth 2 or gap phase 2. Right now, it's enough to know that further preparations for cell division take place in the G2 phase. Now that interphase is over, the cell is ready for cell division, which happens in the M phase. The M phase has two events. The main one is mitosis, which is division of the cell's nucleus, followed by cytokinesis, a division of the cytoplasm. So, at the end of M phase, you have two daughter cells identical to each other and identical to the original cell. Let's review. The cell cycle describes the life cycle of an individual cell. It has four phases, three in interphase and one for cell division. Most cell growth and function happen during G1. The cell enters the S phase when it needs to divide. In this phase the cell replicates its DNA. Replication just means the cell makes a copy of its DNA. In G2, the cell undergoes further preparations for cell division. Finally, we have cell division in the M phase. The M phase consists of mitosis, which is nuclear division, and cytokinesis, or division of the cytoplasm. We'll explore the details of mitosis and cytokinesis separately
 Subjects:
 Biology
 Keywords:
 Cell cycle
 Resource Type:
 Video

Video
Stanford Electrical Engineering Course on Convex Optimization.
 Course related:
 AMA4850 Optimization Methods
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematical optimization Convex functions
 Resource Type:
 Video

Others
Welcome to the Coding Train with Daniel Shiffman! A community dedicated to learning creative coding with beginnerfriendly tutorials and projects on YouTube and more.
 Subjects:
 Computing
 Keywords:
 Coding theory Computer programming
 Resource Type:
 Others

Others
Linear programming, mathematical modeling technique in which a linear function is maximized or minimized when subjected to various constraints. This technique has been useful for guiding quantitative decisions in business planning, in industrial engineering, and—to a lesser extent—in the social and physical sciences.
 Course related:
 AAE3009 Operations Research and Computational Analytics in Air Transport Operations
 Subjects:
 Mathematics and Statistics
 Keywords:
 Linear programming
 Resource Type:
 Others

Others
MyScope was developed by Microscopy Australia to provide an online learning environment for those who want to learn about microscopy. The platform provides insights into the fundamental science behind different microscopes, explores what can and cannot be measured by different systems and provides a realistic operating experience on high end microscopes.
We sincerely hope you find the website an enjoyable environment where you can explore the microscopy space and leave ready to undertake your own exciting experiments.
 Course related:
 CE620 Research Methods
 Subjects:
 Laboratory Techniques and Safety
 Keywords:
 Microscopy
 Resource Type:
 Others

Others
Learn to code, design, and more—all on your own time
 Subjects:
 Computing
 Keywords:
 Coding theory Mobile apps Computer programming
 Resource Type:
 Others

Courseware
This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:
A complete set of Lecture Videos by Professor Gilbert Strang.
Summary Notes for all videos along with suggested readings in Prof. Strang’s textbook Linear Algebra.
Problem Solving Videos on every topic taught by an experienced MIT Recitation Instructor.
Problem Sets to do on your own with Solutions to check your answers against when you’re done.
A selection of Java® Demonstrations to illustrate key concepts.
A full set of Exams with Solutions, including review material to help you prepare.
 Course related:
 AMA1120 Basic Mathematics II
 Subjects:
 Mathematics and Statistics
 Keywords:
 Algebras Linear
 Resource Type:
 Courseware

Video
With calculus well behind us, it's time to enter the next major topic in any study of mathematics. Linear Algebra! The name doesn't sound very intimidating, but there are some pretty abstract concepts in this subject. Let's start nice and easy simply by learning about what this subject covers and some basic terminology.
 Course related:
 COMP4434 Big Data Analytics
 Subjects:
 Mathematics and Statistics
 Keywords:
 Algebras Linear
 Resource Type:
 Video

Others
In these comprehensive video courses, created by Santiago Basulto, you will learn the whole process of data analysis. You'll be reading data from multiple sources (CSV, SQL, Excel), process that data using NumPy and Pandas, and visualize it using Matplotlib and Seaborn, Additionally, we've included a thorough Jupyter Notebook course, and a quick Python reference to refresh your programming skills.
 Course related:
 AMA1600 Fundamentals of AI and Data Analytics and AMA1751 Linear Algebra
 Subjects:
 Mathematics and Statistics and Computing
 Keywords:
 Computer programming Computer science Python (Computer program language)
 Resource Type:
 Others

MOOC
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginnerfriendly program will teach you the fundamentals of machine learning and how to use these techniques to build realworld AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a datacentric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical knowhow to quickly and powerfully apply machine learning to challenging realworld problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
 Course related:
 AAE5103 Artificial Intelligence in Aviation Industry
 Subjects:
 Computing
 Keywords:
 Machine learning Artificial intelligence
 Resource Type:
 MOOC

Others
All resources and notes from the Complete Web Developer in 2022: Zero to Mastery course
 Course related:
 COMP3421 Web Application Design and Development, LGT3109 Introduction to Coding for Business with Python, COMP3211 Software Engineering, and COMP1001 Problem Solving Methodology in Information Technology
 Subjects:
 Computing
 Keywords:
 Web sites  Design Web site development
 Resource Type:
 Others

Others
Kaggle offers a nosetup, customizable, Jupyter Notebooks environment. Access GPUs at no cost to you and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.
 Subjects:
 Computing
 Keywords:
 Machine learning Artificial intelligence Big data
 Resource Type:
 Others

Others
We offer mathematics in an enjoyable and easytolearn manner, because we believe that mathematics is fun.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics
 Resource Type:
 Others

Video
Lecture videos from Gilbert Strang's course on Linear Algebra at MIT.
 Course related:
 AMA1120 Basic Mathematics II  Calculus and Linear Algebra
 Subjects:
 Mathematics and Statistics
 Keywords:
 Algebras Linear
 Resource Type:
 Video

Video
This course is an introduction to game theory and strategic thinking. Ideas such as dominance, backward induction, Nash equilibrium, evolutionary stability, commitment, credibility, asymmetric information, adverse selection, and signaling are discussed and applied to games played in class and to examples drawn from economics, politics, the movies, and elsewhere.
 Subjects:
 Mathematics and Statistics and Economics
 Keywords:
 Game theory
 Resource Type:
 Video

Video
Before the advent of computers around 1950, optimization centered either on smalldimensional problems solved by looking at zeroes of first derivatives and signs of second derivatives, or on infinitedimensional problems about curves and surfaces. In both cases, "variations" were employed to understand how a local solution might be characterized. Computers changed the picture by opening the possibility of solving largescale problems involving inequalities, instead of only equations. Inequalities had to be recognized as important because the decisions to be optimized were constrained by the need to respect many upper or lower bounds on their feasibility. A new kind of mathematical analysis, beyond traditional calculus, had to be developed to address these needs. It built first on appealing to the convexity of sets and functions, but went on to amazingly broad and successful concepts of variational geometry, subgradients, subderivatives, and variational convergence beyond just that. This talk will explain these revolutionary developments and why there were essential.
Event date: 1/11/2022
Speaker: Prof. Terry Rockafellar (University of Washington)
Hosted by: Department of Applied Mathematics
 Subjects:
 Mathematics and Statistics
 Keywords:
 Convex functions Convex sets Mathematical optimization Computer science  Mathematics
 Resource Type:
 Video

Video
Adaptive computation is of great importance in numerical simulations. The ideas for adaptive computations can be dated back to adaptive finite element methods in 1970s. In this talk, we shall first review some recent development for adaptive methods with some application. Then, we will propose a deep adaptive sampling method for solving PDEs where deep neural networks are utilized to approximate the solutions. In particular, we propose the failure informed PINNs (FIPINNs), which can adaptively refine the training set with the goal of reducing the failure probability. Compared with the neural network approximation obtained with uniformly distributed collocation points, the proposed algorithms can significantly improve the accuracy, especially for low regularity and highdimensional problems.
Event date: 18/10/2022
Speaker: Prof. Tao Tang (Beijing Normal UniversityHong Kong Baptist University United International College)
Hosted by: Department of Applied Mathematics
 Subjects:
 Mathematics and Statistics
 Keywords:
 Sampling (Statistics) Differential equations Partial  Numerical solutions Mathematical models Adaptive computing systems
 Resource Type:
 Video

MOOC
Operations management deals with operational planning and control issues, and is needed in all sectors of the society. One of the challenges to operations manager is how to make use of the available resources in the best way for meeting a certain objective. Quantitative approaches are inevitably needed in tackling many of such problems. Operations Research (OR) deals with problem formulation and application of analytical methods to assist in decisionmaking of operational problems in planning and control. The techniques of OR are useful quantitative tools to assist operations managers, and has a wide applicability in engineering, manufacturing, construction, financial and various service sectors. Operations Research is an applied mathematics subject and is also a course in many engineering and management programmes. This course is designed for both students learning OR and learners who are practitioners in their respective professionals. The mathematical procedures for the OR techniques are introduced in details in the examples provided in the course. This helps learners to master the methodology and the techniques and apply them to achieve their goals through active learning. This course introduces two prominent OR techniques and their extended topics. The Simplex Method for Linear Programming (LP) has been considered one of the top 10 algorithms of the 20th century. LP is an optimization technique for solving problems such as finding the optimal product mix, production plan, and shipment allocation, in order to maximize the profir or minimize the cost. The Critical Path Method (CPM) is a popular technique employed by project managers in scheduling project activities. Some extended topics of CPM are also introduced to deal with certain special situations in project management. In reality, many systems operate under stochastic environment and the operational problems cannot be solved by the known analytical methods. To this end, the simulation approach is introduced in the last chapter of this course. Simulation is a powerful technique for tackling OR problems under such situations.
 Subjects:
 Statistics and Research Methods
 Keywords:
 Operations research
 Resource Type:
 MOOC

Video
Convex Matrix Optimization (MOP) arises in a wide variety of applications. The last three decades have seen dramatic advances in the theory and practice of matrix optimization because of its extremely powerful modeling capability. In particular, semidefinite programming (SP) and its generalizations have been widely used to model problems in applications such as combinatorial and polynomial optimization, covariance matrix estimation, matrix completion and sensor network localization. The first part of the talk will describe the primaldual interiorpoint methods (IPMs) implemented in SDPT3 for solving medium scale SP, followed by inexact IPMs (with linear systems solved by iterative solvers) for large scale SDP and discussions on their inherent limitations. The second part will present algorithmic advances for solving large scale SDP based on the proximalpoint or augmented Lagrangian framework In particular, we describe the design and implementation of an augmented Lagrangian based method (called SDPNAL+) for solving SDP problems with large number of linear constraints. The last part of the talk will focus on recent advances on using a combination of local search methods and convex lifting to solve lowrank factorization models of SP problems.
Event date: 11/10/2022
Speaker: Prof. KimChuan Toh (National University of Singapore)
Hosted by: Department of Applied Mathematics
 Subjects:
 Mathematics and Statistics
 Keywords:
 Convex programming Semidefinite programming
 Resource Type:
 Video

Video
We introduce a DimensionReduced SecondOrder Method (DRSOM) for convex and nonconvex (unconstrained) optimization. Under a trustregionlike framework, our method preserves the convergence of the secondorder method while using only Hessianvector products in two directions. Moreover; the computational overhead remains comparable to the firstorder such as the gradient descent method. We show that the method has a local superlinear convergence and a global convergence rate of 0(∈3/2) to satisfy the firstorder and secondorder conditions under a commonly used approximated Hessian assumption. We further show that this assumption can be removed if we perform one step of the Krylov subspace method at the end of the algorithm, which makes DRSOM the first firstordertype algorithm to achieve this complexity bound. The applicability and performance of DRSOM are exhibited by various computational experiments in logistic regression, L2Lp minimization, sensor network localization, neural network training, and policy optimization in reinforcement learning. For neural networks, our preliminary implementation seems to gain computational advantages in terms of training accuracy and iteration complexity over stateoftheart firstorder methods including SGD and ADAM. For policy optimization, our experiments show that DRSOM compares favorably with popular policy gradient methods in terms of the effectiveness and robustness.
Event date: 19/09/2022
Speaker: Prof. Yinyu Ye (Stanford University)
Hosted by: Department of Applied Mathematics
 Subjects:
 Mathematics and Statistics
 Keywords:
 Convex programming Nonconvex programming Mathematical optimization
 Resource Type:
 Video

Video
In this video, it covers the topic of (1).2D layered transition metal dichalcogenides; (2) Theoretical study on optoelectronic properties of 2D materials; and (3) Molecularly thin 2D quantum ruddlesdenpopper perovskites.FAST is organizing the Research at FAST Seminar Series 2021/22 in the coming months to explore collaboration opportunities within PolyU community. The series also serve as a platform for colleagues to get to know FAST researchers.
 Subjects:
 Electronic Engineering and Materials Science
 Keywords:
 Twodimensional materials Quantum chemistry
 Resource Type:
 Video

Video
An online lecture on the topic of "What is Microgravity? Discovering Interesting Phenomena in Microgravity".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.
 Subjects:
 Physics and Aeronautical and Aviation Engineering
 Keywords:
 Gravity Reduced gravity environments
 Resource Type:
 Video

Video
Synthetic biology can be used in industrial biotechnology to engineer metabolic pathways to create highvalue chemicals using model microorganisms such as yeast. During the Synthetic Biology in Action course, participants engineered yeast to produce betacaretone for industrial biotechnology purposes. In this talk, they describe the steps they took to engineer an existing yeast pathway to produce the new chemical. These steps include modeling the metabolic pathway outputs, DNA design, amplification, and assembly, and analysis of the final result.
 Subjects:
 Electronic and Information Engineering, Biochemistry, and Biology
 Keywords:
 Synthetic biology Biochemistry Yeast fungi  Biotechnology
 Resource Type:
 Video

Video
Inventor, entrepreneur and visionary Ray Kurzweil explains in abundant, grounded detail why, by the 2020s, we will have reverseengineered the human brain and nanobots will be operating your consciousness.
 Subjects:
 Technology
 Keywords:
 Technological innovations Bioengineering Information Technology
 Resource Type:
 Video

Video
In this wideranging, thoughtprovoking talk, Kevin Kelly muses on what technology means in our lives  from its impact at the personal level to its place in the cosmos.
 Subjects:
 Technology
 Keywords:
 Technology  Social aspects Technological innovations  Social aspects
 Resource Type:
 Video

Video
In our techdriven, interconnected world, we've developed new ways and rules to court each other, but the fundamental principles of love have stayed the same, says anthropologist Helen Fisher. Our faster connections, she suggests, are actually leading to slower, more intimate relationships. At 12:20, couples therapist and relationship expert Esther Perel steps in to make an important point  that while love itself stays the same, technology has affected the way we form and end relationships.
 Subjects:
 Anthropology, Sociology, and Technology
 Keywords:
 Love Courtship Communication technology Interpersonal communication
 Resource Type:
 Video

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Nearly every other year the transistors that power silicon computer chip shrink in size by half and double in performance, enabling our devices to become more mobile and accessible. But what happens when these components can't get any smaller? George Tulevski researches the unseen and untapped world of nanomaterials. His current work: developing chemical processes to compel billions of carbon nanotubes to assemble themselves into the patterns needed to build circuits, much the same way natural organisms build intricate, diverse and elegant structures. Could they hold the secret to the next generation of computing?
 Subjects:
 Nanotechnology and Electric and information Engineering
 Keywords:
 Nanoelectromechanical systems Nanotechnology
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"We've been promised a future of chrome  but what if the future is fleshy?" asks biological designer Christina Agapakis. In this aweinspiring talk, Agapakis details her work in synthetic biology  a multidisciplinary area of research that pokes holes in the line between what's natural and artificial  and shares how breaking down the boundaries between science, society, nature and technology can lead us to imagine different possible futures.
 Subjects:
 Technology and Biology
 Keywords:
 Synthetic biology Sci9ence  Social aspects
 Resource Type:
 Video

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TED Fellow Lucy McRae is a body architect  she imagines ways to merge biology and technology in our own bodies. In this visually stunning talk, she shows her work, from clothes that recreate the body's insides for a music video with popstar Robyn, to a pill that, when swallowed, lets you sweat perfume.
 Subjects:
 Biomedical engineering and Biology
 Keywords:
 Synthetic biology Bioengineering
 Resource Type:
 Video

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As we move through the world, we have an innate sense of how things feel  the sensations they produce on our skin and how our bodies orient to them. Can technology leverage this? In this fun, fascinating TEDEd lesson, learn about the field of haptics, and how it could change everything from the way we shop online to how dentists learn the telltale feel of a cavity.
 Subjects:
 Electronic and Information Engineering and Biology
 Keywords:
 Haptic devices Touch
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Designer and architect Neri Oxman is leading the search for ways in which digital fabrication technologies can interact with the biological world. Working at the intersection of computational design, additive manufacturing, materials engineering and synthetic biology, her lab is pioneering a new age of symbiosis between microorganisms, our bodies, our products and even our buildings.
 Subjects:
 Biotechnology and Chemical and Bioprocess Technology
 Keywords:
 Biotechnology Biosynthesis  Industrial applications
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We're heading for a world population of 10 billion people  but what will we all eat? Lisa Dyson rediscovered an idea developed by NASA in the 1960s for deepspace travel, and it could be a key to reinventing how we grow food.
 Subjects:
 Food Science
 Keywords:
 Carbon dioxide  Recycling Food science FoodBiotechnology Sustainable agriculture
 Resource Type:
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In a lively show, mathemagician Arthur Benjamin races a team of calculators to figure out 3digit squares, solves another massive mental equation and guesses a few birthdays. How does he do it? He’ll tell you.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mental arithmetic Mental calculators
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By analyzing raw data on violent incidents in the Iraq war and others, Sean Gourley and his team claim to have found a surprisingly strong mathematical relationship linking the fatality and frequency of attacks.
 Subjects:
 Mathematics and Statistics
 Keywords:
 War  Mathematical models
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Naming science as his chief inspiration, Mathieu Lehanneur shows a selection of his ingenious designs  an interactive noiseneutralizing ball, an antibiotic course in one layered pill, asthma treatment that reminds kids to take it, a living air filter, a livingroom fish farm and more.
 Keywords:
 Creative ability in science Creative ability in technology Inventions
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Today's math curriculum is teaching students to expect  and excel at  paintbynumbers classwork, robbing kids of a skill more important than solving problems: formulating them. Dan Meyer shows classroomtested math exercises that prompt students to stop and think.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics  Study teaching
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What can mathematics say about history? According to TED Fellow JeanBaptiste Michel, quite a lot. From changes to language to the deadliness of wars, he shows how digitized history is just starting to reveal deep underlying patterns.
 Subjects:
 Mathematics and Statistics
 Keywords:
 History  Mathematical models
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Having trouble remembering the order of operations? Let's raise the stakes a little bit. What if the future of your (theoretical) kingdom depended on it? Garth Sundem creates a world in which PEMDAS is the hero but only heroic when in the proper order.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Games in mathematics education Games  Mathematics
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What's so special about Leonardo da Vinci's Vitruvian Man? With arms outstretched, the man fills the irreconcilable spaces of a circle and a square  symbolizing the Renaissanceera belief in the mutable nature of humankind. James Earle explains the geometric, religious and philosophical significance of this deceptively simple drawing.
 Subjects:
 History and Mathematics and Statistics
 Keywords:
 Mathematics  Social aspects Vitruvian man (Leonardo da Vinci)
 Resource Type:
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Finding the right mate is no cakewalk  but is it even mathematically likely? In a charming talk, mathematician Hannah Fry shows patterns in how we look for love, and gives her top three tips (verified by math!) for finding that special someone.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematical statistics Online dating
 Resource Type:
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With humor and charm, mathematician Eduardo Sáenz de Cabezón answers a question that's wracked the brains of bored students the world over: What is math for? He shows the beauty of math as the backbone of science — and shows that theorems, not diamonds, are forever. In Spanish, with English subtitles.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics
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Jim Simons was a mathematician and cryptographer who realized: the complex math he used to break codes could help explain patterns in the world of finance. Billions later, he's working to support the next generation of math teachers and scholars. TED's Chris Anderson sits down with Simons to talk about his extraordinary life in numbers.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Stocks  Mathematical models Simons James Harris Mathematics  Study teaching
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Pascal's triangle, which at first may just look like a neatly arranged stack of numbers, is actually a mathematical treasure trove. But what about it has so intrigued mathematicians the world over? Wajdi Mohamed Ratemi shows how Pascal's triangle is full of patterns and secrets.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Pascal's triangle
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Hidden truths permeate our world; they're inaccessible to our senses, but math allows us to go beyond our intuition to uncover their mysteries. In this survey of mathematical breakthroughs, Fields Medal winner Cédric Villani speaks to the thrill of discovery and details the sometimes perplexing life of a mathematician. "Beautiful mathematical explanations are not only for our pleasure," he says. "They change our vision of the world."
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics
 Resource Type:
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Unlock the mysteries and inner workings of the world through one of the most imaginative art forms ever  mathematics  with Roger Antonsen, as he explains how a slight change in perspective can reveal patterns, numbers and formulas as the gateways to empathy and understanding.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics
 Resource Type:
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Video
What if we looked at Parkinson's as an neurological electrical problem? Brain researcher Eleftheria Pissadaki and her team study dopamine neurons, the neurons that selectively die during Parkinson's. They discovered that the bigger a neuron is, the more vulnerable it becomes because it simply requires more energy. This new insight is reframing the disease  and by "finding the fuse box for each neuron" and figuring out how much energy it needs, may help us neuroprotect our brain cells.
 Subjects:
 Health Sciences and Mathematics and Statistics
 Keywords:
 Brain  Diseases  Research Brain  Mathematical models
 Resource Type:
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Irina Kareva translates biology into mathematics and vice versa. She writes mathematical models that describe the dynamics of cancer, with the goal of developing new drugs that target tumors. "The power and beauty of mathematical modeling lies in the fact that it makes you formalize, in a very rigorous way, what we think we know," Kareva says. "It can help guide us to where we should keep looking, and where there may be a dead end." It all comes down to asking the right question and translating it to the right equation, and back.
 Subjects:
 Health Sciences and Mathematics and Statistics
 Keywords:
 Cancer  Mathematical models Cancer cells  Mathematical models
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How do we make sense of a world that doesn't? By looking in unexpected places, says mathematician Eugenia Cheng. She explains how applying concepts from abstract mathematics to daily life can lead us to a deeper understanding of things like the root of anger and the function of privilege. Learn more about how this surprising tool can help us to empathize with each other.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics  Social aspects Equality
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When Nicolas Bourbaki applied to the American Mathematical Society in the 1950s, he was already one of the most influential mathematicians of his time. He'd published articles in international journals and his textbooks were required reading. Yet his application was firmly rejected for one simple reason: Nicolas Bourbaki did not exist. How is that possible? Pratik Aghor digs into the mystery.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics  History Bourbaki Nicolas Functions
 Resource Type:
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Your mortal enemy has captured you and hooked you up to a bizarre experiment. He's extended your nervous system with one very long neuron to a target about 70 meters away. At some point, he's going to fire an arrow. If you can then think a thought to the target before the arrow hits it, he'll let you go. So who wins that race? Seena Mathew examines the speed of thought.
 Subjects:
 Health Sciences and Biology
 Keywords:
 Neurons  Physiology Thought thinking Brain  Physiology
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Consider the following sentence: "This statement is false." Is that true? If so, that would make the statement false. But if it's false, then the statement is true. This sentence creates an unsolvable paradox; if it's not true and it's not false– what is it? This question led a logician to a discovery that would change mathematics forever. Marcus du Sautoy digs into Gödel's Incompleteness Theorem.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Incompleteness theorems Gödel's theorem
 Resource Type:
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Throughout his life, Hrabowski has loved the intersection of math and language. The challenge of finding clear, simple language to explain complex math problems to others is part of what drove his decision to focus on teaching math. Hrabowski points out that math and statistics provide the tools for not only for engineers and scientists to do their work, but also for physicians, accountants, social scientists, business owners and even university administrators!
 Subjects:
 Mathematics and Statistics
 Keywords:
 Applied mathematics
 Resource Type:
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Robert Lang is a pioneer of the newest kind of origami  using math and engineering principles to fold mindblowingly intricate designs that are beautiful and, sometimes, very useful.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Origami  Mathematics
 Resource Type:
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Margaret Wertheim leads a project to recreate the creatures of the coral reefs using a crochet technique invented by a mathematician  celebrating the amazements of the reef, and deepdiving into the hyperbolic geometry underlying coral creation.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Crocheting Coral reef ecology
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From rockets to stock markets, many of humanity's most thrilling creations are powered by math. So why do kids lose interest in it? Conrad Wolfram says the part of math we teach  calculation by hand  isn't just tedious, it's mostly irrelevant to real mathematics and the real world. He presents his radical idea: teaching kids math through computer programming.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics  Study teaching
 Resource Type:
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Physicist Geoffrey West has found that simple, mathematical laws govern the properties of cities  that wealth, crime rate, walking speed and many other aspects of a city can be deduced from a single number: the city's population. In this mindbending talk from TEDGlobal he shows how it works and how similar laws hold for organisms and corporations.
 Subjects:
 Environmental Engineering and Mathematics and Statistics
 Keywords:
 Cities towns  Growth  Econometric models Sustainable urban development
 Resource Type:
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Scott Rickard set out to engineer the ugliest possible piece of music, devoid of repetition, using a mathematical concept known as the Costas Array. In this surprisingly entertaining talk, he shares the math behind musical beauty ... and its opposite.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Repetition in music Mathematics Composition (Music)
 Resource Type:
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Video
When two people join a dating website they are matched according to shared interests and how they answer a number of personal questions. But how do sites calculate the likelihood of a successful relationship? Christian Rudder one of the founders of popular dating site OKCupid details the algorithm behind 'hitting it off.'
 Subjects:
 Computing and Mathematics and Statistics
 Keywords:
 Dating services Computer algorithms Online dating
 Resource Type:
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Would mathematics exist if people didn't? Did we create mathematical concepts to help us understand the world around us, or is math the native language of the universe itself? Jeff Dekofsky traces some famous arguments in this ancient and hotly debated question.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics  Philosophy
 Resource Type:
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Physicist Werner Heisenberg said, "When I meet God, I am going to ask him two questions: why relativity? And why turbulence? I really believe he will have an answer for the first." As difficult as turbulence is to understand mathematically, we can use art to depict the way it looks. Natalya St. Clair illustrates how Van Gogh captured this deep mystery of movement, fluid and light in his work.
 Subjects:
 Physics
 Keywords:
 Turbulence Starry night (Gogh Vincent van)
 Resource Type:
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During the Cold War, Soviet educators were tasked with raising citizens who could outinnovate and outbuild their American counterparts. One of their primary tools for doing so? Math. Educator Masha Gershman describes how the adaptive, highly social Soviet approach to teaching math can be deployed to prep new generations for an evershifting future.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics  Study teaching
 Resource Type:
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Mohamad Jebara loves mathematics  but he's concerned that too many students grow up thinking that this beautiful, rewarding subject is difficult and boring. His company is experimenting with a bold idea: paying students for completing weekly math homework. He explores the ethics of this model and how it's helping students  and why learning math is crucial in the era of fake news.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics  Study teaching
 Resource Type:
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In this engaging talk, high school math teacher and YouTube star Eddie Woo shares his passion for mathematics, calling it an extra sense that we can all access. Using realworld examples of geometry, he encourages everyone to seek out the patterns around them for "a whole new way to see the world."
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics
 Resource Type:
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Mathematics is not about following rules, it's about playing—and exploring, fighting, looking for clues, and sometimes even breaking things, according to Dan Finkel. In this playful, inspiring talk, the founder of Math for Love offers teachers and parents alike a fivestep guide to sharing the beauty and playfulness of mathematical thinking with children.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Mathematics  Study teaching
 Resource Type:
 Video

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Origami, which literally translates to "folding paper," is a Japanese practice dating back to at least the 17th century. In origami, a single, traditionally square sheet of paper can be transformed into almost any shape, purely by folding. The same simple concepts yield everything from a paper crane with about 20 steps, to a dragon with over 1,000 steps. Evan Zodl explores the ancient art form.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Origami  Mathematics
 Resource Type:
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Video
Resource inequality is one of our greatest challenges, but it's not unique to humans. Like us, mycorrhizal fungi that live in plant and tree roots strategically trade, steal and withhold resources, displaying remarkable parallels to humans in their capacity to be opportunistic (and sometimes ruthless)  all in the absence of cognition. In a mindblowing talk, evolutionary biologist Toby Kiers shares what fungi networks and relationships reveal about human economies, and what they can tell us about inequality.
 Subjects:
 Biology
 Keywords:
 Mycorrhizal fungi  Ecology
 Resource Type:
 Video

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How does an English literature major ultimately end up as a cancer biologist? Varmus tells us of his circuitous path to becoming a scientist to illustrate the many routes that one can follow to a career in science.
 Keywords:
 Physical sciences  Vocational guidance Biologists  Vocational guidance
 Resource Type:
 Video

Video
In this screencast, you'll observe two vehicles moving across the screen at different rates then describe the motion. Additionally, you'll select the corresponding graphs of distance vs. time, velocity vs. time, and acceleration vs. time for each vehicle.

Others
In this learning activity you'll explore the difference between mass and weight.
 Subjects:
 Physics
 Keywords:
 Mass (Physics) Weights measures Weight (Physics)
 Resource Type:
 Others

Others
In this learning activity you'll explore a stepbystep process to solve simple freebody diagrams. They identify forces acting in the x or y direction in interactive exercises.

Video
Learners read a description of torque and study the factors that cause its magnitude to change.
 Subjects:
 Physics
 Keywords:
 Torque  Measurement
 Resource Type:
 Video

Others
In this animated object, learners examine how thermal energy is transferred by conduction, convection, and radiation. A brief quiz completes the activity.
 Subjects:
 Physics
 Keywords:
 Heat  Transmission
 Resource Type:
 Others

Others
The learner studies how electrons travel from one atom to the next. Examples demonstrate how voltage is created by the use of a battery or through magnetism. A quiz completes the activity.
 Subjects:
 Physics
 Keywords:
 Electricity
 Resource Type:
 Others

Others
In this animated activity, learners explore three major methods of heat transfer and practice identifying each.
 Subjects:
 Physics
 Keywords:
 Heat  Transmission
 Resource Type:
 Others

Video
In this learning activity you'll examine Newton's Third Law: for every action, there is an equal but opposite reaction.

Video
The learner views several animations to study Newton's First Law of Motion, also known as "The Law of Inertia."
 Subjects:
 Physics
 Keywords:
 Inertia (Mechanics)
 Resource Type:
 Video

Others
In this learning activity you'll review the six different ways in which electricity is produced: chemical, friction, heat, light, magnetism, and pressure.
 Subjects:
 Physics
 Keywords:
 Electricity
 Resource Type:
 Others

Video
In this learning activity you'll examine force, mass, and acceleration to understand this "Law of Acceleration."
 Subjects:
 Physics
 Keywords:
 Acceleration (Mechanics) Motion
 Resource Type:
 Video

Others
In this animated activity, learners view the following physics concepts in action: force, friction, horsepower, work, power, inefficiency, resistance, inertia, and energy.
 Subjects:
 Physics
 Keywords:
 Hydraulics Motion
 Resource Type:
 Others

Video
Armed with a sense of humor and laypeople's terms, Nobel winner Murray GellMann drops some knowledge on TEDsters about particle physics, asking questions like, Are elegant equations more likely to be right than inelegant ones?
 Subjects:
 Physics
 Keywords:
 Particles (Nuclear physics) Physical laws
 Resource Type:
 Video

Video
In this archival footage from BBC TV, celebrated physicist Richard Feynman explains what fire, magnets, rubber bands (and more) are like at the scale of the jiggling atoms they're made of. This accessible, enchanting conversation in physics reveals a teeming nanoworld that's just plain fun to imagine.
 Subjects:
 Physics
 Keywords:
 Physics  Popular works Atoms
 Resource Type:
 Video

Video
All over the planet, giant telescopes and detectors are looking (and listening) for clues to the workings of the universe. At the INK Conference, science writer Anil Ananthaswamy tours us around these amazing installations, taking us to some of the most remote and silent places on Earth.
 Subjects:
 Physics and Cosmology and Astronomy
 Keywords:
 Astrophysics  Research Dark matter (Astronomy)
 Resource Type:
 Video

Video
On March 17, 2014, a group of physicists announced a thrilling discovery: the “smoking gun” data for the idea of an inflationary universe, a clue to the Big Bang. For nonphysicists, what does it mean? TED asked Allan Adams to briefly explain the results, in this improvised talk illustrated by Randall Munroe of xkcd.
 Subjects:
 Physics and Cosmology and Astronomy
 Keywords:
 Inflationary universe Gravitational waves
 Resource Type:
 Video

Video
In 1997, Brazilian football player Roberto Carlos set up for a 35 meter free kick with no direct line to the goal. Carlos's shot sent the ball flying wide of the players, but just before going out of bounds it hooked to the left and soared into the net. How did he do it? Erez Garty describes the physics behind one of the most magnificent goals in the history of football.
 Subjects:
 Physics
 Keywords:
 Soccer  Kicking Physics
 Resource Type:
 Video

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Why is there something rather than nothing? Why does so much interesting stuff exist in the universe? Particle physicist Harry Cliff works on the Large Hadron Collider at CERN, and he has some potentially bad news for people who seek answers to these questions. Despite the best efforts of scientists (and the help of the biggest machine on the planet), we may never be able to explain all the weird features of nature. Is this the end of physics? Learn more in this fascinating talk about the latest research into the secret structure of the universe.
 Subjects:
 Physics
 Keywords:
 Particles (Nuclear physics)  Research
 Resource Type:
 Video

Video
James Beacham looks for answers to the most important open questions of physics using the biggest science experiment ever mounted, CERN's Large Hadron Collider. In this fun and accessible talk about how science happens, Beacham takes us on a journey through extraspatial dimensions in search of undiscovered fundamental particles (and an explanation for the mysteries of gravity) and details the drive to keep exploring.
 Subjects:
 Physics
 Keywords:
 Particles (Nuclear physics)  Research Astrophysics Nuclear astrophysics
 Resource Type:
 Video